{"library":"kfp-server-api","type":"library","category":null,"description":"The `kfp-server-api` library provides a Python client for interacting directly with the Kubeflow Pipelines (KFP) v2 server API. It offers low-level access to KFP resources like pipelines, runs, and experiments, suitable for advanced integrations or custom automation. It is part of the KFP SDK v2 ecosystem, currently at version 2.16.0, and typically released in lockstep with the main `kfp` SDK.","language":"python","status":"active","version":"2.16.0","tags":["kubeflow","pipelines","mlops","api-client","machine-learning"],"last_verified":"Thu May 21","install":[{"cmd":"pip install kfp-server-api==2.16.0","imports":["from kfp_server_api import Configuration","from kfp_server_api import ApiClient","from kfp_server_api.api.pipeline_service_api import PipelineServiceApi","from kfp_server_api.api.run_service_api import RunServiceApi","from kfp_server_api.api.experiment_service_api import ExperimentServiceApi","from kfp_server_api.models import V2beta1Pipeline"]},{"cmd":"pip install kfp # This will pull in kfp-server-api as a dependency","imports":[]}],"homepage":null,"github":"https://github.com/kubeflow/pipelines","docs":null,"changelog":null,"pypi":"https://pypi.org/project/kfp-server-api/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":2.9,"avg_import_s":0.41,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/kfp-server-api/compatibility"}}